Paper Info
Title
The use of linear feature projection for precipitation classification using measurements from commercial microwave links
Abstract
High frequency electromagnetic waves are highly influenced by atmospheric conditions, namely wireless microwave links with carrier frequency of tens of GHz can be used for precipitation monitoring. In the scope of this paper we present a novel detection/classification system capable of detecting wet periods, with the ability to classify the precipitation type as rain or sleet, given an attenuation signal from spatially distributed wireless commercial microwave links. Fade (attenuation) dynamics was selected as a discriminating feature providing the data for classification. Linear Feature Extraction method is formulated; thereafter, the efficiency is evaluated based on real data. The detection/classification system is based on the Fisher's linear discriminant and likelihood ratio test. Its performance is demonstrated using actual Received Signal Level measurements from a cellular backhaul network in the northern part of Israel. In particular, the use of the raw data as well as its derivatives to achieve better classification performance is suggested.
Year
DOI
Venue
2012
10.1007/978-3-642-28551-6_63
LVA/ICA
Keywords
Field
DocType
classification system,carrier frequency,precipitation monitoring,novel detection,precipitation type,commercial microwave link,linear feature projection,precipitation classification,better classification performance,high frequency electromagnetic wave,raw data,attenuation signal
Microwave,Wireless,Telecommunications,Likelihood-ratio test,Backhaul (telecommunications),Computer science,Remote sensing,Feature extraction,Attenuation,Linear discriminant analysis,Precipitation
Conference
Citations 
PageRank 
References 
3
0.46
2
Authors
3
Name
Order
Citations
PageRank
Dani Cherkassky1293.89
Jonatan Ostrometzky2215.52
Hagit Messer310022.23